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Fatigue Performance Analysis and Life Prediction of Wood Tar-Based Rejuvenated Asphalt

  • Original Research Paper
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International Journal of Pavement Research and Technology Aims and scope Submit manuscript

Abstract

To provide theoretical and data support for the fatigue performance test and life prediction of rejuvenated asphalt mixture, and supply parameter support for the design of rejuvenated asphalt pavement, dynamic shear rheometer (DSR) was used to conduct repeated shear tests on original asphalt, wood tar-based rejuvenated asphalt and RA-102 rejuvenated asphalt to evaluate the rationality of three parameters are defined as follows: complex modulus parameter (Nf50), dissipated energy ratio parameter (NP20), ratio of dissipated energy change parameter (Nfm) for evaluating the fatigue performance of rejuvenated asphalt, and the fatigue life prediction equation of wood tar-based rejuvenated asphalt was established considering the influence of temperature. The results show that NP20 has clear definition and accurate calculation of asphalt fatigue life, and takes into account the change of internal energy of asphalt material, which can be used as evaluation parameter of fatigue performance of wood tar-based rejuvenated asphalt. The fatigue performance of wood tar-based rejuvenated asphalt decreases with the increase of the temperature. The fitted prediction equations can accurately predict the fatigue life of wood tar-based rejuvenated asphalt.

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Data availability

The data that support the findings of this study are available from the corresponding author, upon reasonable request.

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Funding

This work was supported by the Standardization Project of Hunan Province, China [Grant No. 2022-11-43], the Changsha Natural Science Foundation Project, China [Grant No. kq2202275] and the Science and Technology Innovation Program of Hunan Province, China [Grant No. 2020RC4049]. The brand names mentioned in this paper were for the reader’s convenience only and this does not suggest any endorsement by the authors.

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Authors and Affiliations

  1. School of Civil Engineering, Central South University of Forestry & Technology, Changsha, 410004, Hunan, People’s Republic of China

    Luyue Wang, Quan Li & Kefei Liu

  2. Hunan Provincial Engineering Research Center for Construction Solid Wastes Recycling, Changsha, 410205, People’s Republic of China

    Quan Li

  3. Hunan Communications Research Institute Co. LTD, Changsha, 410015, People’s Republic of China

    Kang Jiang

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  1. Luyue Wang
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Correspondence to Kefei Liu or Kang Jiang.

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Wang, L., Li, Q., Liu, K. et al. Fatigue Performance Analysis and Life Prediction of Wood Tar-Based Rejuvenated Asphalt. Int. J. Pavement Res. Technol. (2023). https://doi.org/10.1007/s42947-023-00315-w

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  • DOI: https://doi.org/10.1007/s42947-023-00315-w

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